| Literature DB >> 33234134 |
Jianglei Ma1, Xiaoyao Li1, Shifu Zhao1, Ruifu Zhang1, Dejun Yang2.
Abstract
BACKGROUND: To date, robotic surgery has been widely used worldwide. We conducted a systematic review and meta-analysis to evaluate short-term and long-term outcomes of robotic gastrectomy (RG) in gastric cancer patients to determine whether RG can replace laparoscopic gastrectomy (LG).Entities:
Keywords: Gastrectomy; Gastric cancer; Laparoscopic; Meta-analysis; Robotic
Mesh:
Year: 2020 PMID: 33234134 PMCID: PMC7688002 DOI: 10.1186/s12957-020-02080-7
Source DB: PubMed Journal: World J Surg Oncol ISSN: 1477-7819 Impact factor: 2.754
Fig. 1Flow chart of literature search strategies
Main characteristics of studies included in the meta-analysis
| Study | Year | Country | Design | Study period | Group | Cases | Age | BMI (kg/m2) | Surgical extension |
|---|---|---|---|---|---|---|---|---|---|
| Zhang [ | 2012 | China | R | 2009-2011 | RG | 97 | 56.1 ± 5.8 | 22.5 ± 3.6 | D, P, T |
| LG | 70 | 54.8 ± 4.9 | 21.7 ± 2.1 | ||||||
| Liu [ | 2014 | China | R | 2012-2013 | RG | 100 | 66.4 ± 5.7 | 22.7 ± 1.8 | D, P, T |
| LG | 100 | 67.8 ± 4.8 | 23.1 ± 1.2 | ||||||
| Huang [ | 2014 | China | R | 2008-2014 | RG | 72 | 67.7 ± 15.1 | 24.1 ± 3.3 | D, T |
| LG | 73 | 66 ± 13.5 | 24.2 ± 3.3 | ||||||
| Zhou [ | 2014 | China | R | 2010-2013 | RG | 120 | 54.7 ± 10.1 | 21.6 ± 2.8 | D,P,T |
| LG | 394 | 55.6 ± 11.8 | 21.7 ± 2.6 | ||||||
| Son T [ | 2014 | Korea | R | 2003-2010 | RG | 51 | 55.3 ± 12.2 | 22.7 ± 2.9 | T |
| LG | 58 | 58.8 ± 12.2 | 23.2 ± 3.3 | ||||||
| Han [ | 2015 | Korea | R | 2008-2013 | RG | 68 | 50.6 ± 8.3 | 22.7 ± 2.4 | PPG |
| LG | 68 | 49.8 ± 11.5 | 22.8 ± 3 | ||||||
| Lee [ | 2015 | Korea | R | 2003-2010 | RG | 133 | 53.6 ± 13.2 | 23.2 ± 2.7 | D |
| LG | 267 | 59.2 ± 11.7 | 23.7 ± 2.8 | ||||||
| Suda [ | 2016 | Japan | R | 2009-2012 | RG | 88 | 63.5 ± 15.0 | 22.6 ± 4.6 | D, T |
| LG | 438 | 64.0 ± 15.8 | 23.1 ± 6.4 | ||||||
| Shen [ | 2016 | China | R | 2011-2014 | RG | 93 | 56.8 ± 10.5 | 24.3 ± 3.3 | D, T |
| LG | 330 | 57.9 ± 11.5 | 23.8 ± 3.6 | ||||||
| Hong [ | 2016 | Korea | R | 2008-2015 | RG | 232 | 53.7 ± 11.5 | 23.8 ± 3.3 | D, P |
| LG | 232 | 55.0 ± 13.0 | 23.8 ± 3.0 | ||||||
| La n[ | 2017 | China | R | 2014-2016 | RG | 196 | 59.0 ± 11.6 | 23.6 ± 4.6 | D, P, T |
| LG | 673 | 59.0 ± 11.6 | 23.5 ± 4.5 | ||||||
| Zhang [ | 2018 | China | R | 2011-2013 | RG | 70 | 58.0 ± 9.8 | 24.2 ± 3.4 | D, P, T |
| LG | 70 | 56.9 ± 12.1 | 23.2 ± 2.9 | ||||||
| Li [ | 2018 | China | R | 2013-2017 | RG | 112 | 55.6 ± 11.3 | 23.6 ± 2.9 | D, T |
| LG | 112 | 56.1 ± 11.1 | 23.6 ± 3.0 | ||||||
| Obama [ | 2018 | Japan | R | 2005-2009 | RG | 311 | 54.5 ± 12.6 | 23.6 ± 3.1 | D, T |
| LG | 311 | 54.8 ± 12.0 | 23.2 ± 2.8 | ||||||
| Gao [ | 2019 | China | R | 2011-2014 | RG | 163 | 60.27 ± 10.50 | 23.77 ± 3.11 | D, T |
| LG | 163 | 59.88 ± 11.72 | 23.25 ± 3.26 | ||||||
| Sun [ | 2019 | China | R | 2016-2018 | RG | 33 | 55.6 ± 10.3 | 22.38 ± 3.03 | D, T |
| LG | 88 | 54.7 ± 10.9 | 22.59 ± 2.95 | ||||||
| Ye [ | 2020 | China | R | 2014-2019 | RG | 285 | 57.1 ± 8.3 | 24.4 ± 2.3 | D |
| LG | 285 | 57.0 ± 8.6 | 24.5 ± 2.2 | ||||||
| Kong [ | 2020 | China | R | 2014-2017 | RG | 266 | 58.68 ± 10.54 | 24.23 ± 3.06 | D, P, T |
| LG | 532 | 58.92 ± 9.82 | 24.25 ± 3.34 | ||||||
| Cui [ | 2020 | China | R | 2016-2019 | RG | 187 | 59.0 ± 10.5 | 24.1 ± 3.0 | D |
| LG | 334 | 57.2 ± 11.9 | 23.8 ± 3.4 |
R retrospectively collected data D distal gastrectomy, P proximal gastrectomy, T total gastrectomy, PPG pylorus-preserving gastrectomy, BMI body mass index, LG laparoscopic gastrectomy, RG robotic gastrectomy
Assessment of the quality of the studies based on the NOS
| Study | Selection (out of 4) | Comparability (out of 2) | Outcomes (out of 3) | Total (out of 9) | |||||
|---|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |||
| Zhang [ | * | * | * | * | ** | * | 7 | ||
| Liu [ | * | * | * | * | ** | * | 7 | ||
| Huang [ | * | * | * | * | ** | * | 7 | ||
| Zhou [ | * | * | * | * | ** | * | * | * | 9 |
| Son T [ | * | * | * | * | ** | * | * | * | 9 |
| Han [ | * | * | * | * | ** | * | * | * | 9 |
| Lee [ | * | * | * | * | * | * | * | * | 8 |
| Suda [ | * | * | * | * | * | * | * | 7 | |
| Shen [ | * | * | * | * | ** | * | 7 | ||
| Hong [ | * | * | * | * | ** | * | 7 | ||
| Lan [ | * | * | * | * | ** | * | 7 | ||
| Zhang [ | * | * | * | * | ** | * | * | * | 9 |
| Li [ | * | * | * | * | ** | * | * | 8 | |
| Obama [ | * | * | * | * | ** | * | * | * | 9 |
| Gao [ | * | * | * | * | ** | * | * | * | 9 |
| Sun [ | * | * | * | * | ** | * | 7 | ||
| Ye [ | * | * | * | * | ** | * | 7 | ||
| Kong [ | * | * | * | * | ** | * | 7 | ||
| Cui [ | * | * | * | * | ** | * | 7 | ||
(1) Representativeness of the exposed cohort, (2) selection of the non-exposed cohort, (3) ascertainment of exposure, (4) demonstration that outcome of interest was not present at start of study, (5) assessment of outcome, (6) was follow-up long enough for outcomes to occur, (7) adequacy of follow-up of cohorts
Fig. 2Forest plot of the meta-analysis for intraoperative and postoperative parameters. a Operation time. b Estimated blood loss. c Time to first flatus. d Length of hospital stay. e Overall postoperative complications. f Mortality
Fig. 3Forest plot of the meta-analysis for pathology details. a Number of retrieved lymph nodes. b Proximal margin distances. c Distal margin distance
Fig. 4Forest plot of the meta-analysis for survival outcomes. a Overall survival. b Relapse-free survival. c Recurrence rate
Results of the meta-analysis
| Outcomes | No. of studies | Sample size | Heterogeneity | Overall effect size | 95% CI of overall effect | |||
|---|---|---|---|---|---|---|---|---|
| LG | RG | |||||||
| Operation time (min) | 18 | 3925 | 2481 | 94 | < 0.001 | WMD = −32.96 | −42.08 ~ −23.84 | < 0.001 |
| Estimated blood loss (mL) | 17 | 4196 | 2422 | 81 | < 0.001 | WMD = 28.66 | 18.59 ~ 38.73 | < 0.001 |
| Retrieved lymph nodes | 19 | 4598 | 2677 | 83 | < 0.001 | WMD = −0.96 | −2.12 ~ 0.20 | 0.100 |
| Proximal margin (cm) | 7 | 1252 | 761 | 28 | 0.220 | WMD = −0.10 | −0.29 ~ 0.09 | 0.300 |
| Distal margin (cm) | 6 | 1194 | 710 | 59 | 0.030 | WMD = 0.15 | −0.21 ~ 0.52 | 0.410 |
| Time to first flatus (days) | 13 | 2847 | 1888 | 65 | < 0.001 | WMD = 0.16 | 0.06 ~ 0.27 | 0.003 |
| Hospital stay (days) | 19 | 4598 | 2677 | 93 | < 0.001 | WMD = 0.23 | −0.53 ~ 0.98 | 0.560 |
| Overall complications | 19 | 4598 | 2677 | 0 | 0.880 | OR = 1.07 | 0.91 ~ 1.25 | 0.430 |
| Mortality | 5 | 1386 | 762 | 0 | 0.820 | OR = 0.67 | 0.24 ~ 1.90 | 0.450 |
| Overall survival | 6 | 1498 | 890 | 0 | 0.860 | HR = 0.95 | 0.76 ~ 1.18 | 0.640 |
| Recurrence-free survival | 3 | 586 | 586 | 0 | 0.910 | HR = 0.91 | 0.69 ~ 1.21 | 0.530 |
| Recurrence rate | 5 | 1038 | 757 | 0 | 0.620 | OR = 0.90 | 0.67 ~ 1.21 | 0.500 |
Fig. 5Forest plot of the sensitivity analysis for the time to first flatus
Fig. 6Forest plot of the sensitivity analysis for the number of retrieved lymph nodes
Fig. 7Funnel plot of the overall postoperative complications